Global Particle Physics Excellence Awards

  Dynamically adjustable topological edge states in thermal diffusion-advection system Exploring Dynamically Adjustable Topological Edge States in Thermal Diffusion-Advection Systems Topological edge states, once thought to be exclusive to quantum and electronic systems, are now revealing their potential in classical environments—particularly in thermal systems. Our recent study investigates how dynamically tunable topological edge states can be engineered within diffusion-advection frameworks , opening new pathways for controlling thermal energy transport . In typical thermal systems, heat transfer is governed by a combination of diffusion and advection. However, by designing specific boundary conditions and internal flow patterns, it becomes possible to emulate topological invariants that result in robust, localized thermal currents along system edges. These edge modes are not only resilient to perturbations and defects , but in our model, they can also be dynamically contro...

       Mr. Apostolos Parasyris | Greece | Best Scholar Award We are thrilled to announce the recipient of this year’s  Best Scholar Award —a shining example of academic excellence, dedication, and intellectual growth. This prestigious recognition isn’t just about grades; it's about perseverance, passion, curiosity, and the drive to go above and beyond. From the first day of the academic year, this remarkable student has displayed not only a deep understanding of their subjects but also a consistent hunger for knowledge. Their academic record is outstanding, their research contributions inspiring, and their engagement in extracurricular activities nothing short of admirable. Whether tackling complex scientific concepts, engaging in thoughtful debates, leading group projects, or mentoring fellow students, our Best Scholar has done it all—with humility and grace. This award celebrates not only their intellect but their integrity, leadership, and commitment to lifel...

  Topological data analysis assisted machine learning for polar topological structures in oxide superlattices Topological Data Analysis Assisted Machine Learning for Polar Topological Structures in Oxide Superlattices In the quest to understand and design advanced materials, polar topological structures in oxide superlattices represent a frontier with significant potential. These complex materials exhibit exotic phases such as polar vortices, skyrmions, and topological domain walls, which are of great interest for next-generation nanoelectronic and spintronic devices. However, identifying and classifying such intricate features at the nanoscale remains a considerable challenge. To address this, researchers are now integrating Topological Data Analysis (TDA) with Machine Learning (ML) , creating a powerful synergy that enables automated, robust characterization of complex spatial structures in high-resolution datasets. TDA provides a mathematical language to describe the shape an...

Biomedical optics and photonics for advanced clinical technologies Biomedical Optics and Photonics: Shaping the Future of Advanced Clinical Technologies Biomedical optics and photonics are transforming the way clinicians diagnose, monitor, and treat diseases. By leveraging light-based technologies, researchers and engineers are creating powerful tools for non-invasive imaging, early disease detection, real-time surgical guidance, and precision therapy. This interdisciplinary field merges physics, engineering, biology, and medicine to deliver innovative solutions for today’s most complex healthcare challenges. From optical coherence tomography (OCT) used in ophthalmology to photoacoustic imaging in cancer diagnostics, photonic technologies enable high-resolution, real-time insights into tissue structure and function without the need for invasive procedures. In neurology, diffuse optical imaging and near-infrared spectroscopy (NIRS) are improving our understanding of brain function...

Complex resistivity dispersion for monitoring soil contaminated by selected organic pollutants Complex Resistivity Dispersion for Monitoring Soil Contaminated by Selected Organic Pollutants Monitoring soil contamination caused by organic pollutants remains a critical challenge in environmental geosciences. Among various non-invasive geophysical techniques, Complex Resistivity (CR) dispersion —also referred to as Spectral Induced Polarization (SIP) —has emerged as a powerful method for characterizing contaminated subsurface environments. This method leverages frequency-dependent electrical properties of soils, enabling the detection and differentiation of pollution signatures associated with hydrocarbons, pesticides, and industrial solvents. This study explores the application of CR dispersion in soils impacted by selected organic pollutants, aiming to establish relationships between contaminant type, concentration, and geoelectrical response. Laboratory-controlled experiments were co...

                Lifetime Achievement Award Honoring a Legacy of Excellence: Lifetime Achievement Award We are honored to celebrate the remarkable journey and lasting impact of [Recipient's Name], recipient of the prestigious Lifetime Achievement Award . This award recognizes not just the achievements of a distinguished career, but the dedication, leadership, and passion that have inspired generations and transformed lives. Over the span of several decades, [Recipient's Name] has exemplified excellence in [mention field—e.g., education, science, medicine, leadership, community service]. Through unwavering commitment and visionary leadership, they have shaped their field and left an indelible mark on colleagues, students, and the broader community. From groundbreaking research to mentoring the next generation, [he/she/they] has not only contributed to advancing knowledge but also enriched lives. Their work stands as a testament to integrity, pers...